Pokorny, C., Awile, O., Isbister, J. B., Kurban, K., Wolf, M., & Reimann, M. W. (2024). A connectome manipulation framework for the systematic and reproducible study of structure–function relationships through simulations. Network Neuroscience, 1–51. https://doi.org/10.1162/netn_a_00429

Battini, S., Cantarutti, N., Kotsalos, C., Roussel, Y., Cattabiani, A., Arnaudon, A., Favreau, C., Antonel, S., Markram, H., & Keller, D. (2024). Modeling of blood flow dynamics in the rat somatosensory cortex.bioRxiv, 2024.11.14.623572. https://doi.org/10.1101/2024.11.14.623572

Lorin, C., Diaceri, G., Garcia, M., Markram, H., Logette, E., and Keller, D. (2024). Sex dimorphism in rodent brain responses to ketogenic diets: A comparative study. Preprint Research Square.https://doi.org/10.21203/rs.3.rs-5185394/v1.

Piluso, S., Veraszto, C., Carey, H., Delattre, E., L’Yvonnet, T., Colnot, E., Romani, A., Bjaalie, J. G., Markram, H., & Keller, D. (2024). An extended and improved CCFv3 annotation and Nissl atlas of the entire mouse brain. bioRxiv. http://biorxiv.org/lookup/doi/10.1101/2024.11.06.622212.

Ecker, A., Egas Santander, D., Abdellah, M., Alonso, J. B., Bolaños-Puchet, S., Chindemi, G., Gowri Mariyappan, D. P., Isbister, J. B., King, J. G., Kumbhar, P., Magkanaris, I., Muller, E. B., & Reimann, M. W. (2024). Assemblies, synapse clustering and network topology interact with plasticity to explain structure-function relationships of the cortical connectome. eLife,  https://doi.org/10.7554/eLife.101850.1.

Isbister, J. B., Ecker, A., Pokorny, C., Bolaños-Puchet, S., Santander, D. E., Arnaudon, A., Awile, O., Barros-Zulaica, N., Alonso, J. B., Boci, E., Chindemi, G., Courcol, J.-D., Damart, T., Delemontex, T., Dietz, A., Ficarelli, G., Gevaert, M., Herttuainen, J., Ivaska, G., Ji, W., Keller, D., King, J., Kumbhar, P., Lapere, S., Litvak, P., Mandge, D., Muller, E.B., Pereira, F., Planas, J., Ranjan, R., Reva, M., Romani, A., Rössert, C., Schürmann, F., Sood, V., Teska, A., Tuncel, A., Van Geit, W., Wolf, M., Markram, H., Ramaswamy, S., Reimann, M. W. (2024). Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation. eLife. https://doi.org/10.7554/eLife.99688.1.

Romani, A., Antonietti, A., Bella, D., Budd, J., Giacalone, E., Kurban, K., Sáray, S., Abdellah, M., Arnaudon, A., Boci, E., Colangelo, C., Courcol, J.-D., Delemontex, T., Ecker, A., Falck, J., Favreau, C., Gevaert, M., Hernando, J.B., Herttuainen, J., Ivaska, G., Kanari, L., Kaufmann, A.-K., King, J.G., Kumbhar, P., Lange, S., Lu, H., Lupascu, C.A., Migliore, R., Petitjean, F., Planas, J., Rai, P., Ramaswamy, S., Reimann, M.W., Riquelme, J.L., Román Guerrero, N., Shi, Y., Sood, V., Sy, M.F., Van Geit, W., Vanherpe, L., Freund, T.F., Mercer, A., Muller, E., Schürmann, F., Thomson, A.M., Migliore, M., Káli, S., Markram, H. (2024). Community-based reconstruction and simulation of a full-scale model of the rat hippocampus CA1 region. PLoS Biology, 22, e3002861. https://doi.org/10.1371/journal.pbio.3002861.

Reimann, M. W., Bolanõs-Puchet, S., Courcol, J.-D., Egas Santander, D., Arnaudon, A., Coste, B., Delalondre, F., Delemontex, T., Devresse, A., Dictus, H., Dietz, A., Ecker, A., Favreau, C., Ficarelli, G., Gevaert, M., Herttuainen, J., Isbister, J. B., Kanari, L., Keller, D., King, J., Kumbhar, P., Lapere, S., Lazovskis, J., Lu, H., Ninin, N., Pereira, F., Planas, J., Pokorny, C., Riquelme, J.L., Romani, A., Shi, Y., Smith, J.P., Sood, V., Srivastava, M., Van Geit, W., Vanherpe, L., Wolf, M., Levi, R., Hess, K., Schürmann, F., Muller, E.B., Markram, H.,  Ramaswamy, S. (2024). Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy. eLife. https://elifesciences.org/reviewed-preprints/99688v1.

Tharayil, J., Zinno, C., Agnesi, F., Lloyd, B., Farcito, S., Cassara, A. M., Kuster, N., Reimann, M., Micera, S., & Neufeld, E. (2024). Simulation insights on the compound action potential in multifascicular nerves. bioRxiv. http://biorxiv.org/lookup/doi/10.1101/2024.10.16.618681

Kanari, L., Schmidt, S., Casalegno, F., Delattre, E., Banjac, J., Negrello, T., Shi, Y., Meystre, J., Defferrard, M., Schürmann, F., & Markram, H. (2024). Deep learning for classifying neuronal morphologies: combining topological data analysis and graph neural networks. bioRxiv. https://doi.org/10.1101/2024.09.13.612635